International Advisor

About the role

As an International Advisor at BetConstruct, you will play a critical role in refining the live scouting department's organizational structure and improving data logging processes. Your focus will be on minimizing data transmission lag and establishing robust business continuity plans for live match operations.

You will develop frameworks to evaluate scout performance and create standardized assessment processes for hiring. Your expertise in sports data management will guide the design of compensation structures and tiering systems that promote high-quality data logging across a global network.

Who this role suits

• Has extensive experience in sports data collection and management.
• Possesses a strong understanding of data structures and their impact on sports analytics.
• Is comfortable managing large teams, particularly remote or hybrid setups.
• Thrives in a fast-paced environment and is adept at problem-solving.

From the employer

Responsibilities

• Audit and refine the organizational hierarchy of the live scouting department (e.g., Regional Coordinators, Quality Assurance Managers, Senior Loggers, In-Stadium vs. Video Taggers).
• Evaluate current live data logging processes (latency, data entry accuracy, communication protocols) and design workflows that minimize data transmission lag.
• Establish business continuity plans for technical failures, stream dropouts, or stadium access issues during live match operations.
• Define the exact roadmap for where to find high-quality data loggers, defining specific protocols for using primary channels and alternative talent pools.
• Standardize the assessment and vetting process. Design specialized benchmarking tests (e.g., video-based coordination tests, speedtyping, and football/sports IQ evaluations) to filter out low-performing candidates before onboarding.
• Build a playbook for mass-hiring initiatives required ahead of major tournament cycles or season kick-offs.
• Develop an objective, data-driven framework to evaluate scout performance. Metrics must include: Accuracy Rate (% of correctly tagged events against master review), Latency/Speed (average seconds between live event and system log), and Completeness (% of required metadata captured).
• Establish secondary-review structures where QA teams systematically audit live matches to grade data integrity.
• Design a "Scout Tiering" system (e.g., Junior, Core, Senior, Master) where performance directly dictates promotion and access to premium/high-profile matches.
• Design a competitive, scalable compensation matrix tailored to geographic regions, match difficulty, and data requirements.
• Implement financial or tier-based bonus structures rewarding high accuracy, perfect attendance, low latency, and willingness to cover late-night or short-notice fixtures.
• Balance payroll expenses against data quality to optimize the department’s overall operational budget.

Requirements

• Minimum of 7 - 10+ years of direct, hands-on experience within a major sports data provider (e.g., tier-1 sports betting syndicates).
• Intimate familiarity with both Event-Based Data Collection (human logging software, UI/UX optimization) and Optical/Tracking Data Processes.
• A track record of having successfully scaled or managed a global network of hundreds of remote or in-stadium scouts.
• Expert-level knowledge of how data structures impact the end product (media feeds, betting APIs, or club analytics platforms).

Working conditions

• Type: Full-time
• Location: Global - open to candidates worldwide (LATAM, Europe and Asian markets): This role requires a remote/hybrid work setup. You will work both remotely and hybrid depending on team and business needs.